Transportation Research Part F: Traffic Psychology and Behaviour
Published by Elsevier
ISSN : 1369-8478
Abbreviation : Transp. Res. Part F Traffic Psychol. Behav.
Aims & Scope
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport.
The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice.
TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field.
The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 4.4 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.153 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 127 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 3814 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 3681 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, Psychology and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Public opinion on automated driving: Results of an international questionnaire among 5000 respondents
Citation: 1096
Authors: M., R., J.C.F.
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Effects of visual and cognitive load in real and simulated motorway driving
Citation: 604
Authors: Johan, Emma, Joakim
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Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence
Citation: 595
Authors: Joost C.F., Riender, Marieke H., Neville A.
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Intention to use a fully automated car: Attitudes and a priori acceptability
Citation: 568
Authors: William, Julien, Patricia
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Transition to manual: Driver behaviour when resuming control from a highly automated vehicle
Citation: 484
Authors: Natasha, A. Hamish, Frank C.H., Michael, Oliver M.J.
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What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems
Citation: 414
Authors: Ruth, Tyron, Marc, Anna, Natasha
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The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China
Citation: 391
Authors: Jingwen, Hua, Jin-Wei, Tianqi
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Can we trust self-reports of driving? Effects of impression management on driver behaviour questionnaire responses
Citation: 385
Authors: Timo, Heikki
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Sensitivity of eye-movement measures to in-vehicle task difficulty
Citation: 378
Authors: Trent W., Joanne L., Johan A.